Lifetime Depressive Episodes Research Articles

Short-Term Blood Pressure Variability among Young Adults at High or Low Risk for Depression.

Background: Depression has been shown to have adverse effects on blood pressure (BP) and is associated with high blood pressure variability (BPV). In turn, high short-term BPV has been related to eventual cardiovascular risk. But it is not clear how early in adulthood the detrimental effects of depression on BPV may be discerned, if being at high risk for depression also compromises BPV, and whether the clinical features of depression moderate its adverse effects. We investigated these three issues among young adults using an office-like setting. Methods: In total, 218 subjects with a history of childhood-onset major depressive episodes (probands), 206 never-depressed full biological siblings of the probands (high-risk siblings), and 166 emotionally healthy unrelated controls received a psychiatric evaluation and three standardized-sitting BP measurements 5 min apart. Short-term BPV was defined as the maximum difference between measures (range) for each case. The statistical methods included analyses of variance/covariance, chi-square tests, and multiple regression. Results: Systolic and diastolic BP decreased over consecutive measurements (p < 0.001). After controlling for age, the probands, siblings, and controls did not differ significantly in terms of BPV. However, the number of lifetime depressive episodes did predict the diastolic BP range (p = 0.005): probands with the highest number of depressive episodes had the largest short-term diastolic BPV. Conclusions: On a group level, the adverse effects on BPV of having experienced or being at high risk for depression are not yet evident during young adulthood. However, the number of major depressive episodes, which is an index of lifetime depression burden, predicts higher BPV. Thus, BPV monitoring for young adults with clinical depression histories could be part of an early intervention program to reduce the risk of eventual cardiovascular disease.

A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder.

Bipolar disorder (BD) is a mood disorder with different phases alternating between euthymia, manic or hypomanic episodes, and depressive episodes. While motor abnormalities are commonly seen during depressive or manic episodes, not much attention has been paid to postural abnormalities during periods of euthymia and their association with illness burden. We collected 24-hour posture data in 32 euthymic participants diagnosed with BD using a shirt-based wearable. We extracted a set of nine time-domain features, and performed unsupervised participant clustering. We investigated the association between posture variables and 12 clinical characteristics of illness burden. Based on their postural dynamics during the daytime, evening, or nighttime, participants clustered in three clusters. Higher illness burden was associated with lower postural variability, in particular during daytime. Participants who exhibited a mostly upright sitting/standing posture during the night with frequent nighttime postural transitions had the highest number of lifetime depressive episodes. Euthymic participants with BD exhibit postural abnormalities that are associated with illness burden, especially with the number of depressive episodes. Our results contribute to understanding the role of illness burden on posture changes and sleep consolidation in periods of euthymia.

Treatment coverage for depression in the general Spanish population and the impact of the Covid-19 pandemic

BackgroundDespite the availability of effective antidepressant strategies, numerous people with depressive disorders remain untreated. The Covid-19 pandemic has affected healthcare services, especially the mental health sector. This study aims to explore the coverage of depression treatments in the general Spanish population and the impact of the Covid-19 pandemic. MethodsWe used longitudinal data (2018 and 2022) from the general Spanish population: pre-pandemic n = 1512; mean age = 65.43 years ± 14.90; 56 % females; post-pandemic n = 909; mean age = 68.00 years ± 14.24; 54 % women. The International Classification of Disease 10th edition was used to diagnose lifetime depressive episodes and severity. We explored psychological and pharmacological treatment coverage via multiple logistic regressions adjusted for 4 covariates (sex assigned at birth, education level, age, Covid-19 pandemic) for participants with a diagnosis of depression. ResultsTreatment coverage for depression in the pre-pandemic and post-pandemic samples was, respectively, 53.3 % and 51.9 %. We observed an association between severe depression and treatment coverage (OR = 2.77, 95%CI 1.05 to 7.75). We found no association between the COVID-19 pandemic and treatment coverage. ConclusionsThe pharmacological treatment coverage was associated with severe types of depression. The prevalence rates of treatment coverage were similar in the pre- and post-COVID-19 pandemic attesting to the resilience of the mental health system in Spain.

Differences in mental health problems in LGBT+ first year college students in Chile during the pandemic.

To examine the differences in mental health problems by sexual orientation and gender identity in first-year university students in Chile during the pandemic. 7,213 first-year students aged 18 years and older from five universities participated as part of the World Mental Health - International College Student initiative in Chile. Students completed an online self-report survey between 2020 and 2021 that included measures of lifetime and 12-month major depressive episode, generalized anxiety disorder, panic disorder, bipolar disorder, drug abuse/dependence, alcohol dependence, non-suicidal self-injuries, and suicidal risk. Prevalence of mental health problems were estimated and the differences by sexual orientation and gender identity were examined using logistic and multinomial logistic regression models. Between 84.1% and 98% of lesbian, gay, bisexual, trans, and other sexual and gender minority (LGBT+) students screened positive for at least one lifetime mental health problem and between 67.6% and 90.6% for two or more problems. For most outcomes, non-heterosexual (Odds Ratio [OR] between 1.25 and 7.00) and trans and gender nonconforming students (OR between 1.72 and 5.81) had significantly higher odds of positive screening for lifetime mental health problems than heterosexual and cisgender students, respectively. Similar results were observed for 12-month mental health problems. The results show differences in the prevalence of mental health problems in LGBT+ university students in Chile, which are consistent with those found in other countries. These results may be useful for planning interventions to improve the mental health of LGBT+ students.

Larger putamen in individuals at risk and with manifest bipolar disorder.

Individuals at risk for bipolar disorder (BD) have a wide range of genetic and non-genetic risk factors, like a positive family history of BD or (sub)threshold affective symptoms. Yet, it is unclear whether these individuals at risk and those diagnosed with BD share similar gray matter brain alterations. In 410 male and female participants aged 17-35 years, we compared gray matter volume (3T MRI) between individuals at risk for BD (as assessed using the EPIbipolar scale; n = 208), patients with a DSM-IV-TR diagnosis of BD (n = 87), and healthy controls (n = 115) using voxel-based morphometry in SPM12/CAT12. We applied conjunction analyses to identify similarities in gray matter volume alterations in individuals at risk and BD patients, relative to healthy controls. We also performed exploratory whole-brain analyses to identify differences in gray matter volume among groups. ComBat was used to harmonize imaging data from seven sites. Both individuals at risk and BD patients showed larger volumes in the right putamen than healthy controls. Furthermore, individuals at risk had smaller volumes in the right inferior occipital gyrus, and BD patients had larger volumes in the left precuneus, compared to healthy controls. These findings were independent of course of illness (number of lifetime manic and depressive episodes, number of hospitalizations), comorbid diagnoses (major depressive disorder, attention-deficit hyperactivity disorder, anxiety disorder, eating disorder), familial risk, current disease severity (global functioning, remission status), and current medication intake. Our findings indicate that alterations in the right putamen might constitute a vulnerability marker for BD.

Trajectories of remitted psychotic depression: identification of predictors of worsening by machine learning.

Remitted psychotic depression (MDDPsy) has heterogeneity of outcome. The study's aims were to identify subgroups of persons with remitted MDDPsy with distinct trajectories of depression severity during continuation treatment and to detect predictors of membership to the worsening trajectory. One hundred and twenty-six persons aged 18-85 years participated in a 36-week randomized placebo-controlled trial (RCT) that examined the clinical effects of continuing olanzapine once an episode of MDDPsy had remitted with sertraline plus olanzapine. Latent class mixed modeling was used to identify subgroups of participants with distinct trajectories of depression severity during the RCT. Machine learning was used to predict membership to the trajectories based on participant pre-trajectory characteristics. Seventy-one (56.3%) participants belonged to a subgroup with a stable trajectory of depression scores and 55 (43.7%) belonged to a subgroup with a worsening trajectory. A random forest model with high prediction accuracy (AUC of 0.812) found that the strongest predictors of membership to the worsening subgroup were residual depression symptoms at onset of remission, followed by anxiety score at RCT baseline and age of onset of the first lifetime depressive episode. In a logistic regression model that examined depression score at onset of remission as the only predictor variable, the AUC (0.778) was close to that of the machine learning model. Residual depression at onset of remission has high accuracy in predicting membership to worsening outcome of remitted MDDPsy. Research is needed to determine how best to optimize the outcome of psychotic MDDPsy with residual symptoms.

A family history of suicide in bipolar disorders: powerful, powerless

IntroductionWhen completing the medical record of a patient with bipolar disoder (BD), hardly anything is more impacting than a family history of completed suicide (FHS). In fact, FHS is a main risk factor for personal suicide attempts and death in this population. There are few modifiable protective factors against suicide in BD, such as lithium treatment and absence of substance abuse.ObjectivesWe aimed to explore the relationship between a FHS and clinical characteristics in patients with BD. Given the impact that FHS has on the individual and on healthcare professionals, we hypothesized that it would modify behaviors towards a higher prevalence of the modifiable protective factors against suicide, namely more treatment with lithium and less drug addiction.MethodsThis is a cross-sectional study that included all patients with BD that were followed up in a specialised unit between 1998 and 2020. Only subjects with complete information on FHS were retained for the analysis. We assessed sociodemographic and clinical data and described it with measures of frequency, central tendency and dispersion. Differences between subjects with and without FHS were calculated with χ², Fisher’s exact test and Student’s t-test as appropriate. We set the significance level at p≤0.05. All tests were two-tailed.ResultsThe sample consisted of 480 subjects with a mean age of 45.9 years (standard deviation 14.4, range 18-88), of which 54.4% (n=261) were women. 69.2% (n=332) had a diagnosis of BD type I and 30.8% (n=148) of BD type II. 77 subjects (16%) had a FHS. Regarding differences between groups, those with relatives who had committed suicide did not show statistically significant differences in terms of sociodemographic variables (age, gender, civil status, employment) or key clinical features (type of BD, illness duration, psychotic features, predominant polarity, rapid cycling, number of lifetime manic and depressive episodes, comorbid personality disorder), neither did they have a higher use of lithium (55.8% vs 59.3%, p=0.572) nor lower substance use disorder (10.9% vs 15.5%, p=0.34). Predictably, people with FHS had a higher prevalence of family history of mental and affective disorders (96.1% vs 70.9%, p&lt;0.001; 86.3% vs 56.3%, p&lt;0.001) and of stressful life events (71.6% vs 58.9%, p=0.05). Personal lifetime suicide attempts also tended to be higher (36.4% vs 26.7%, p=0.088).ConclusionsContrary to our hypothesis, in our sample of subjects with BD a FHS was not associated with a higher prevalence of the modifiable protective factors against suicide. Therefore, although suicide has a major impact both in families and healthcare professionals, our results suggest it does not modify attitudes towards prevention in a real-life scenario. The main limitation of our study is its cross-sectional design, which does not allow for causal inference. In conclusion, there is room for improvement in the fight against suicide.Disclosure of InterestNone Declared

Effects of current and past depressive episodes on behavioral performance and subjective experience during an N-back task

Background and objectivesDepression impairs working memory (WM). And, while many studies have documented impairment in WM during depression remission, those using the N-back task did not find differences between individuals with remitted depression and healthy controls. One reason for these findings may be that certain depression phenotypes, such as the childhood-onset form, which is likely to be associated with persistent WM problems, are underrepresented or unevenly represented in the studies. Because childhood-onset depression (COD) affects individuals while cognitive development is still ongoing, it is more likely to have lasting detrimental effects, as evidenced in residual memory impairment, than depression that onsets later in life. Further, it is unclear if depression episodes have cumulative effects on WM when measured via the N-back. MethodsWe examined the effects of depression on WM performance (response time, accuracy, signal detection d’) and subjective experience (difficulty, mental effort required) during a four-level N-back task among 112 adults with COD (42 currently depressed; 70 remitted depressed) and 80 never-depressed controls. ResultsCompared to never-depressed controls, there was minimal evidence of impaired WM performance among participants with remitted or current depression; the groups also reported overall similar subjective experiences during the N-back. Notably, number of lifetime depressive episodes had a detrimental cumulative effect on response accuracy and d’. LimitationsWM was assessed only in regard to verbal memory. The sample size of currently depressed cases was smaller than that of the other groups. ConclusionsWM remains largely intact among adults with remitted COD, but increased number of depression episodes worsens WM performance.

Age as a moderating factor of treatment resistance in depression.

Treatment-resistant depression (TRD) is an important clinical challenge and may present differently between age groups. A total of 893 depressed patients recruited within the framework of the European research consortium "Group for the Studies of Resistant Depression" were assessed by generalized linear models regarding age effects (both as numerical and factorial predictors) on treatment outcome, number of lifetime depressive episodes, hospitalization time, and duration of the current episode. Effects of age as numerical predictor on the severity of common depressive symptoms, measured with Montgomery-Åsberg Depression Rating Scale (MADRS) for two-time points, were assessed by linear mixed models, respectively, for patients showing TRD and treatment response. A corrected p threshold of 0.001 was applied. Overall symptom load reflected by MADRS (p<0.0001) and lifetime hospitalization time (p<0.0001) increased with age in TRD patients but not treatment responders. In TRD, higher age was predicting symptom severity of inner tension, reduced appetite, concentrations difficulties, and lassitude (all p≤0.001). Regarding clinical significance, older TRD patients were more likely to report severe symptoms (item score>4) for these items both before and after treatment (all p≤0.001). In this naturalistic sample of severely ill depressed patients, antidepressant treatment protocols were equally effective in addressing TRD in old age. However, specific symptoms such as sadness, appetite, and concentration showed an age-dependent presentation, impacting residual symptoms in severely affected TRD patients and calling for a precision approach by a better integration of age profiles in treatment recommendations.

Predictive models for first-onset and persistence of depression and anxiety among university students

BackgroundDepression and anxiety are both prevalent among university students. They frequently co-occur and share risk factors. Yet few studies have focused on identifying students at highest risk of first-onset and persistence of either of these conditions. MethodsMulticenter cohort study among Spanish first-year university students. At baseline, students were assessed for lifetime and 12-month Major Depressive Episode and/or Generalized Anxiety Disorder (MDE-GAD), other mental disorders, childhood-adolescent adversities, stressful life events, social support, socio-demographics, and psychological factors using web-based surveys; 12-month MDE-GAD was again assessed at 12-month follow-up. ResultsA total of 1253 students participated in both surveys (59.2% of baseline respondents; mean age = 18.7 (SD = 1.3); 56.0% female). First-onset of MDE-GAD at follow-up was 13.3%. Also 46.7% of those with baseline MDE-GAD showed persistence at follow-up. Childhood/Adolescence emotional abuse or neglect (OR= 4.33), prior bipolar spectrum disorder (OR= 4.34), prior suicidal ideation (OR=4.85) and prior lifetime symptoms of MDE (ORs=2.33-3.63) and GAD (ORs=2.15-3.75) were strongest predictors of first-onset MDE-GAD. Prior suicidal ideation (OR=3.17) and prior lifetime GAD symptoms (ORs=2.38-4.02) were strongest predictors of MDE-GAD persistence. Multivariable predictions from baseline showed AUCs of 0.76 for first-onset and 0.81 for persistence. 74.9% of first-onset MDE-GAD cases occurred among 30% students with highest predicted risk at baseline. LimitationsSelf-report data were used; external validation of the multivariable prediction models is needed. ConclusionMDE-GAD among university students is frequent, suggesting the need to implement web-based screening at university entrance that identify those students with highest risk.

Lifetime and current depression in the German National Cohort (NAKO)

Objectives The present study introduces the assessment of depression and depressive symptoms in the German National Cohort (NAKO), a population-based mega cohort. Distribution of core measures, and associations with sociodemographic factors are examined. Methods The current analysis includes data from the first 101,667 participants (NAKO data freeze 100,000). Depression and depressive symptoms were assessed using a modified version of the depression section of the Mini-International Neuropsychiatric Interview (MINI), self-reported physician’s diagnosis of depression, and the depression scale of the Patient Health Questionnaire (PHQ-9). Results A lifetime physician’s diagnosis of depression was reported by 15.0% of participants. Of those, 47.6% reported having received treatment for depression within the last 12 months. Of the subset of 26,342 participants undergoing the full depression section of the modified MINI, 15.9% were classified by the MINI with a lifetime depressive episode. Based on the PHQ-9, 5.8% of the participants were classified as currently having a major or other depression by the diagnostic algorithm, and 7.8% according to the dimensional assessment (score ≥ 10). Increased frequency of depression measures and higher depression scores were observed in women and participants with lower education level or a family history of depression. Conclusions The observed distributions of all depression measures and their associations with sociodemographic variables are consistent with the literature on depression. The NAKO represents a valuable epidemiologic resource to investigate depression, and the range of measures for lifetime and current depression allows users to select the most suitable instrument for their specific research question.

Initiating Antidepressant Medication: What is the Most Important Factor?

Treatment initiation is arguably the most important step in the management of depression. It is important at this stage of treatment to establish a therapeutic partnership between physician and patient, to facilitate shared decision-making. With specific regard to pharmacotherapy, negative attitudes and beliefs about antidepressant medications are common among the general public, and these can impact on how physicians who prescribe antidepressant medication are viewed. Some of these beliefs are that antidepressants are addictive, and that they change an individual’s personality. Before initiating treatment, it is important for physicians to understand the patient’s attitudes towards treatment, as well as their goals for treatment, especially since the patient’s goals may not be the same as the physician’s. Physicians can also identify patients who may be at risk of treatment resistance—those with more severe symptoms, at risk of suicide, with higher number of lifetime depressive episodes and comorbid anxiety disorder—and to differentiate treatment resistance from overlapping comorbidities. Patients need to understand that depression results from an interaction between biological and environmental factors; the use of analogies with other diseases, such as hypertension and/or a broken leg, can help in this regard. Finally, patients can be reassured that antidepressant medication is effective, and the range of agents currently available today target multiple pathways. While monotherapy is the goal, some patients will require additional treatments to manage comorbid psychiatric conditions (e.g. anxiety) or to achieve complete remission of depression. Only through complete remission of symptoms do patients achieve a level of psychosocial functioning that is equivalent to the non-depressed population. By explaining these factors to the patient, and listening to the patient’s beliefs, fears and goals, physicians can forge an effective therapeutic partnership for shared decision-making and maximise the chances of success from the time of treatment initiation.

Assessment of lethality and its clinical correlates in suicide attempters with mood disorders.

Relatively limited literature is available on lethality assessment for suicide attempts in affective disorders from the Indian subcontinent. To assess the lethality and its clinical correlates in lifetime suicide attempters with mood disorders. A total of 100 lifetime suicide attempters, aged ≥18 years, with a DSM-5 diagnosis of bipolar disorder (BD) or major depressive disorder-recurrent (MDD-R) were recruited. Current euthymia was ascertained (Hamilton Depression Rating Scale (HAM-D) ≤7; Young Mania Rating Scale (YMRS) ≤4). Assessments were conducted using clinical pro forma, Risk-Rescue Rating Scale (RRRS), Columbia Suicide Severity Rating Scale (C-SSRS) and Barratt's Impulsiveness Scale (BIS). Average age of the sample was 36.32 ± 11.76 years (48% males, 52% females). The mean duration of affective illness was 10.59 ± 8.32 years. Risk-rescue scores for lethality were significantly higher in males (vs females), bipolar disorder (vs unipolar), multiple attempters (vs single) and planned (vs unplanned) attempters. Risk-rescue score also showed a significant positive correlation with lifetime total and depressive episodes, and intensity of ideations, and a significant negative correlation with BIS-attention impulsiveness. Regression analysis [F (3,96) = 12.196, P < 0.001, adjusted R2 = 0.253] found that lifetime lithium prescription, intensity of suicidal ideations and attention impulsiveness explained 25.3% variance in lethality. Absence of lifetime lithium, higher intensity of suicidal ideations and lower attentional impulsiveness predicted higher lethality of suicide attempts. Lethality of suicide attempts was found to be associated with a multitude of clinical factors, notably male gender, bipolarity, multiple attempts, planned attempts and number of total and depressive episodes. Assessment of lethality and its correlates can help to plan strategies towards risk prevention in mood disorders.

Практичне значення діагностики депресії у пацієнтів із цукровим діабетом 2-го типу

Актуальність. Цукровий діабет (ЦД) і депресія сьогодні є поширеними та соціально значущими захворюваннями. Незважаючи на величезну кількість робіт і досліджень, присвячених вивченню причин цих станів, сучасний погляд на етіологію як ЦД, так і депресії залишає безліч нез’ясованих питань. Мета. Продемонструвати практичне застосування шкал діагностики депресії у пацієнтів із ЦД 2-го типу. Матеріали та методи. У дослідження було рандомізовано 190 пацієнтів. Для діагностики депресії використовувалися адаптовані шкали PHQ-9, PAID, WHO, MINI-6, шкала Гамільтона; опрацьовано дані з амбулаторних карт пацієнта за останні 15 років; проведено збір анамнезу, загальний огляд, вимірювання рівня глікованого гемоглобіну та ліпідограми, а також обов’язкову консультацію психіатра, ендокринолога, подолога. Згідно з аналізом зібраних даних і отриманих результатів, пацієнтам призначалися за необхідності седативні препарати, антидепресанти, анксіолітики та психотерапія. Результати. Із загальної кількості пацієнтів (n = 230) після скринінгу було рандомізовано 190 осіб. Стан депресії, виявлений під час інтерв’ю, розцінювався як поточний (протягом двох тижнів) діагноз великого депресивного розладу (Major Depressive Disorder) за Міжнародною класифікацією хвороб 10-го перегляду. Якщо в амбулаторній картці пацієнта епізоди депресії були зафіксовані та задокументовані, то встановлювався діагноз «рекурентна депресія». Обов’язковою також була інформація про стан тривоги та суїцидальні наміри (чи їх спроба в минулому). Після отриманих результатів психіатром приймалося рішення про необхідність прийому седативних препаратів, антидепресантів, анксіолітиків і проведення психотерапії. Висновки. Синергічний ефект тривоги та депресії на стан ЦД підвищує ризик розвитку мікро- та макросудинних ускладнень, спричинює гіперглікемію у пацієнтів та зумовлює пошук нових методів вирішення цієї проблеми.

Residual symptoms in bipolar disorders: Findings from the bipolar Disorder course and outcome study from India (BiD-CoIN study)

AimTo explore the prevalence of residual symptoms (both depressive and manic) and their correlates in subjects with bipolar disorder in clinical remission. MethodologyThis multicentric cross-sectional study included patients in clinical remission recruited across the 14 centers. The patients were evaluated on the Hamilton Depression Rating Scale (HDRS) and Young Mania Rating Scale (YMRS) for the prevalence of residual symptoms. A score of ≤7 on both scales defined the presence of residual symptoms. ResultsFour-fifth (79.8%) of the participants had residual symptoms, with 130 (16.8%) having only residual depressive symptoms, 74 (9.6%) having only residual manic symptoms, and 413 (53.4%) having both depressive and manic residual symptoms, on HDRS and YMRS. The residual symptoms were related to the polarity of the most recent episode and the lifetime predominant polarity. Higher numbers of lifetime depressive episodes are associated with higher residual depressive symptoms, and higher numbers of lifetime manic episodes are associated with higher chances of having residual manic symptoms. ConclusionsA large proportion of patients with bipolar disorder have residual symptoms during the remission phase. Clinicians need to make efforts to identify and address the same to improve the treatment outcome.

Late-life depression and increased risk of dementia: a longitudinal cohort study

Late-life depression (LLD) is associated with an increased risk of developing dementia; however, it is not known whether individuals with a history of LLD exhibit a more rapid rate of cognitive decline. We aimed to determine whether those with LLD experienced faster cognitive decline compared with never-depressed control (NDC) participants from the community and whether stratification of LLD into early-onset depression (EOD) and late-onset depression (LOD) subtypes revealed differing rates and domain-specific expression of cognitive decline. We conducted a prospective, longitudinal study where 185 participants with LLD (remitted) and 114 NDC were followed for 5 years on average. EOD was defined as having first lifetime depressive episode at <60years and LOD at ≥60years. Every year, participants underwent comprehensive neuropsychological assessment. Composite scores for each cognitive domain were calculated through averaging standardized scores across tests. LLD compared to NDC demonstrated significant baseline impairment but did not decline more rapidly. EOD were significantly impaired in attention/processing speed and global cognitive function at baseline but did not experience more rapid decline as compared to NDC. Those with LOD compared to both NDC and EOD performed worse in all domains at baseline and experienced more rapid decline in verbal skills and delayed memory ability. Our findings suggest that baseline impairment may lower the threshold for those with LLD to develop dementia. EOD and LOD may represent distinct phenotypes of cognitive impairment with differing neural substrates. LOD may represent a distinct phenotype with a more rapid decline in verbal skills and delayed memory.

Clinical characteristics of bipolar disorders with postpartum depressive onset

BackgroundPostpartum period is associated with an increased risk of bipolar disorder diagnosis and relapse, mainly major depressive episode. Onset during this period might be associated with specific characteristics. AimTo compare the socio-demographic and clinical characteristics of parous women presenting with bipolar disorder and an index depressive episode occurring during or outside the postpartum period. MethodsUsing the multicenter cohort FACE-BD (FondaMental Academic Centers of Expertise for Bipolar Disorders), we considered all women who started their BD with a major depressive episode and have at least one child. We compared two groups depending on the onset: in or outside the postpartum period. ResultsAmong the 759 women who started BD with a major depressive episode, 93 (12.2%) had a postpartum onset, and 666 (87.8%) had not. Women who started BD in the postpartum period with a major depressive episode have a more stable family life, more children, an older age at onset, more Bipolar 2 disorder, less history of suicide attempts, less depressive episodes and more mood stabilizer treatments as compared to those who started with a major depressive episode outside the postpartum period. The multivariable logistic regression showed that women with an onset in the postpartum period had significantly more children, less lifetime depressive episodes and a lower rate of history of suicide attempts as compared to women with an onset outside the postpartum period. DiscussionOur results suggest that women starting their BD with postpartum depression have a more favorable course of BD, especially less history of suicide attempt and less lifetime depressive episodes.

Cost-Effectiveness of Providing the Depression Care for People With Cancer Program to Patients With Prostate Cancer in the United States

ObjectivesThe Depression Care for People with Cancer program (DCPC) is a cost-effective depression care model for UK patients with cancer. However, DCPC’s cost-effectiveness in the United States is unknown, particularly for patients with prostate cancer in the United States. This study evaluates the health and economic impact of providing DCPC to patients with prostate cancer. MethodsDCPC was compared with usual care in a mathematical model that simulates depression and its outcomes in a hypothetical cohort of US patients with prostate cancer. DCPC was modeled as a sequential combination of universal depression screening, post-screening evaluations, and first-line combination therapy. Primary outcomes were lifetime direct costs of depression care, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. Secondary outcomes included life expectancy, number of depression-free months and lifetime depressive episodes, duration of depressive episodes, cumulative incidence of depression, lifetime depression diagnoses/misdiagnoses, and the cumulative incidence of maintenance therapy for depression. Sensitivity analyses were used to examine uncertainty. ResultsIn the base case, DCPC dominated usual care by offering 0.11 more QALYs for $2500 less per patient (from averted misdiagnoses). DCPC also offered 5 extra depression-free months, shorter depressive episodes, and a lower chance of maintenance therapy. DCPC’s trade-offs were a higher cumulative incidence of depression and more lifetime depressive episodes. Life expectancy was identical under usual care and DCPC. Sensitivity analyses indicate that DCPC was almost always preferable to usual care. ConclusionCompared with usual care, DCPC may offer more value to US patients with prostate cancer. DCPC should be considered for inclusion in prostate cancer survivorship care guidelines.

Characterization of rapid cycling bipolar patients presenting with major depressive episode within the BRIDGE-II-MIX study.

The "Bipolar Disorders: Improving Diagnosis, Guidance, and Education" (BRIDGE-II-Mix) study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions and to compare their clinical validity, looking into specific features such as rapid cycling (RC). Psychiatric symptoms, socio-demographic, and clinical variables were collected from a sample of 2811 MDE patients, of which 726 (25.8%) were diagnosed with bipolar disorder (BD). The characteristics of bipolar patients with RC (BD-RC) and without (BD-NRC) RC were compared. Of 726 BD patients, 159 (21.9%) met DSM-5 criteria for RC. BD-RC group presented a higher number of lifetime depressive episodes (p<0.001) with shorter duration of depressive episodes, and more psychiatric comorbidities, as well as higher rates of atypical features (p=0.016) and concomitant (hypo)manic symptoms (irritable mood (p=0.001); risky behavior (p=0.005); impulsivity (p=0.006); and psychomotor agitation (p=0.029)). Patients with RC had a worse functioning (p=0.033), more obesity (p=0.003), and were significantly more likely to be treated with three or more drugs (p=0.007). Important clinical differences between bipolar patients with and without a RC include more depressive morbidity, higher incidence of anxiety disorders, addiction, bulimia, and borderline personality disorder, as well as atypical features during depression and symptoms such as irritability, risky behavior, impulsivity, and agitation. RC patients had poorer functioning than patients without RC, more obesity, and had to be treated with more drugs.

Demographic and Clinical Differences Between Bipolar Disorder Patients With and Without Alcohol Use Disorders.

BackgroundBipolar disorder (BD) and alcohol use disorder (AUD) are two major independent causes of psychopathology in the general population. The prevalence of AUD in BD is high. Identifying the clinical and demographic features of patients with BD who may develop AUD could help with early identification and intervention.MethodsData from 238 patients diagnosed with BD were gathered on alcohol use, social demographics, longitudinal course of BD, clinical features of the most severe lifetime manic and depressive episodes, comorbid physical diseases, anxiety disorders, and other substance use disorders.ResultsWe found that 74 of 238 BD patients had AUD (67 with alcohol dependence and 7 with alcohol abuse). Bivariate logistic regression analysis and multivariate logistic regression analysis found that the best predictors of AUD in patients with BD were being male (OR = 2.086, 95% CI = 1.094–3.979, p = 0.001), younger (OR = 0.965, 95% CI = 0.935–0.996, p = 0.026), and comorbidity with other unclassified substance dependence (OR = 10.817, 95% CI = 1.238–94.550, p = 0.031).ConclusionsMale, younger current age, and having other substance use disorders were independently associated with AUD.